IoT-Based Smart Tree Management Solution for Green Cities

2019 ◽  
pp. 181-199
Author(s):  
Bilal Shabandri ◽  
Sahith Reddy Madara ◽  
Piyush Maheshwari
Keyword(s):  
Tree Management ◽  
Green Cities

Unflooding Asia: The Green Cities Way

2014 ◽  
Vol 13 ◽  
Author(s):  
Zoran Vojinović
Keyword(s):  
Green Cities

scholarly journals Participatory multi-objective optimization for planning dense and green cities

2021 ◽  
pp. 1-22
Author(s):  
Sergio Wicki ◽  
Jonas Schwaab ◽  
Jan Perhac ◽  
Adrienne Grêt-Regamey
Keyword(s):  
Multi Objective Optimization ◽  
Multi Objective ◽  
Green Cities

scholarly journals Almond Fruit Drop Patterns under Mediterranean Conditions

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 544
Author(s):  
Jaume Lordan ◽  
Lourdes Zazurca ◽  
Mercè Rovira ◽  
Laura Torguet ◽  
Ignasi Batlle ◽  
...  
Keyword(s):  
Fruit Set ◽  
Growing Season ◽  
Fruit Weight ◽  
Key Factors ◽  
Full Bloom ◽  
Tree Management ◽  
Fruit Drop ◽  
Mediterranean Conditions ◽  
New Cultivars ◽  
Scion Cultivar

Almond is an important tree nut crop worldwide, and planted areas have been increasing year after year. While self-fertility is one of the key factors when it comes to improved almond productivity of new cultivars, yield is also affected by the number of flowers produced, pollination, fruit set, fruit drop, and fruit weight. Almond fruit drop patterns of 20 Mediterranean almond cultivars were studied over three years. In addition, fruit drop patterns of two scion cultivars ‘Marinada’ and ‘Vairo’ budded onto eight to 10 different rootstocks managed with three different pruning strategies were studied for two years. Cumulative flower and fruit drop ranged from 50% to 90% among cultivars and treatments, and there were up to four fruit drop events during the growing season, the main one occurring from 20–60 days from full bloom (DFFB). Subsequent drops were at 100 DFFB, 120–140 DFFB, and the last one at 160–180 DFFB. The later drops were less apparent. In general, about half of the cumulative drop was comprised of buds and flowers, and the remaining percentage was fruit that dropped 20 or more days after full bloom. Furthermore, different fruit drop patterns were observed depending on the cultivar. For late- and extra-late flowering cultivars, cumulative fruit drop began to decrease earlier, with most of the drops occurred already at full bloom, whereas the opposite was observed for the early flowering cultivars. Rootstocks also had an important effect on the fruit drop pattern, with different effects depending on the scion cultivar. Tree management, such as type of pruning, also had an important effect on the rate of fruit drop and cumulative drop. Therefore, each combination of cultivar × rootstock × pruning type will require different strategies in order to reduce the fruit drop and optimize crop loads.

Urban tree management: diversity of Tilia genus in streets and parks of Paris based on morphological and genetic characteristics

2021 ◽  
pp. 127382
Author(s):  
Iry Andrianjara ◽  
Marianne Bordenave-Jacquemin ◽  
Virginie Roy ◽  
Cécile Cabassa ◽  
Pierre Federici ◽  
...  
Keyword(s):  
Genetic Characteristics ◽  
Urban Tree ◽  
Tree Management ◽  
Management Diversity

Towards ‘Green Cities’—Fields of Action and Recommendations

2017 ◽  
pp. 175-197
Author(s):  
Karsten Grunewald ◽  
Tinghao Hu ◽  
Lennart Kümper-Schlake ◽  
Wei Hou ◽  
Qiaoqiao Xu
Keyword(s):  
Green Cities

Leveraging Internet of Things to Revolutionize Waste Management

2018 ◽  
Vol 9 (4) ◽  
pp. 1-13 ◽  
Author(s):  
Mirjana Maksimovic
Keyword(s):  
Internet Of Things ◽  
Waste Management ◽  
Management System ◽  
Human Life ◽  
The Novel ◽  
Urban Centers ◽  
Novel Technologies ◽  
Waste Management System ◽  
Green Cities

A continuously growing population and their migration to urban centers consequently leads to waste expansion. The rapidly increasing quantities of waste generated in the cities affect way of human life, environment and planet. Hence, the necessity for smarter, safer, and greener places have never been more urgent. The novel technologies, Internet of Things (IoT) particularly, holds the potential to better manage waste and recycling. The IoT-driven waste management systems positively influence achieving the vision of smart green cities. This article analyzes the role of smart and safe IoT-powered waste management system, highlights its benefits, and possibilities of implementation and evaluation. It is expected that the IoT-based waste management system will deal successfully with an increasing amount of diverse types of waste and through the realization of a smart green city vision will resolve numerous problems related to human health and environmental contamination.

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